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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">finance</journal-id><journal-title-group><journal-title xml:lang="ru">Финансы: теория и практика/Finance: Theory and Practice</journal-title><trans-title-group xml:lang="en"><trans-title>Finance: Theory and Practice</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2587-5671</issn><issn pub-type="epub">2587-7089</issn><publisher><publisher-name>Financial University under The Government of Russian Federation</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26794/2587-5671-2023-27-2-140-151</article-id><article-id custom-type="elpub" pub-id-type="custom">finance-2086</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ДЕНЕЖНО-КРЕДИТНАЯ ПОЛИТИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>MONETARY &amp; CREDIT POLICY</subject></subj-group></article-categories><title-group><article-title>Взаимосвязь промышленного и финансового стресса в российской экономике в условиях смены монетарного режима</article-title><trans-title-group xml:lang="en"><trans-title>The Relationship Between Industrial and Financial Stress in the Russian Economy in the Context of a Change in the Monetary Regime</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3152-3934</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Малкина</surname><given-names>М. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Malkina</surname><given-names>M. Yu.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Марина Юрьевна Малкина - доктор экономических наук, профессор кафедры экономической теории и методологии, руководитель Центра макро- и микроэкономики</p><p>Нижний Новгород</p></bio><bio xml:lang="en"><p>Marina Yu. Malkina - Dr. Sci. (Econ.), Prof., Department of Economic Theory and Methodology, Head of the Center for Macro and Microeconomics</p><p>Nizhny Novgorod</p></bio><email xlink:type="simple">mmuri@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-5642-9859</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Моисеев</surname><given-names>И. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Moiseev</surname><given-names>I. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Игорь Александрович Моисеев - аналитик-исследователь</p><p>Москва</p></bio><bio xml:lang="en"><p>Igor A. Moiseev - research analyst</p><p>Moscow</p></bio><email xlink:type="simple">igorm32014@gmail.com</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Нижегородский государственный университет им. Н. И. Лобачевского</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Lobachevsky State University of Nizhni Novgorod</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Ozon holdings PLC</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Ozon holdings PLC</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>01</day><month>05</month><year>2023</year></pub-date><volume>27</volume><issue>2</issue><fpage>140</fpage><lpage>151</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Малкина М.Ю., Моисеев И.А., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Малкина М.Ю., Моисеев И.А.</copyright-holder><copyright-holder xml:lang="en">Malkina M.Y., Moiseev I.A.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://financetp.fa.ru/jour/article/view/2086">https://financetp.fa.ru/jour/article/view/2086</self-uri><abstract><p>Актуальность исследования обусловлена существенным влиянием финансовых шоков на различные сектора российской экономики, что приводит к нарушению устойчивости экономической системы страны. Поэтому крайне важно знать источники финансовых шоков, механизмы их распространения и способы управления ими. Цель исследования — раскрытие особенностей влияния финансового стресса на промышленный стресс в российской экономике и определение роли денежно-кредитной политики в их взаимодействии. Новизна исследования заключается в развитии методологии построения индексов финансового и промышленного стресса, установлении механизма их взаимодействия в условиях разных монетарных режимов центрального банка. Построение индексов стресса осуществляется на основе отбора индикаторов финансового рынка и промышленного сектора экономики, использовании метода главных компонент для их агрегирования и математического преобразования первой главной компоненты. С помощью теста Грейнджера на причинность определяется направленность взаимодействия финансового и промышленного стресса в российской экономике. На основе построения моделей авторегрессии с распределенным лагом (ARDL моделей) выявляется характер и степень воздействия финансового стресса, а также параметров денежно-кредитной политики (масштабов кредитования центральным банком коммерческих банков и отклонения ключевой ставки центрального банка от рыночной ставки заимствования) на промышленный стресс в российской экономике. Результатом исследования являются оценки силы связи между финансовым и промышленным стрессом в российской экономике для двух периодов: до изменения монетарного режима (2006 — конец 2014 г.) и после изменения монетарного режима (конец 2014–2019 г). Сделан вывод, что в первом периоде влияние финансового стресса на промышленный стресс было более быстрым и сильным. Во втором периоде ослабление и отдаление этого влияния во времени объясняется сменой монетарного режима Банка России, что свидетельствует о повышении эффективности инструментов денежно-кредитной политики Банка России в противодействии «финансовому заражению» промышленного сектора экономики.</p></abstract><trans-abstract xml:lang="en"><p>The relevance of the paper is defined by significant impact of financial shocks on various sectors of the Russian economy, which undermines the stability of the country’s economic system. Therefore, it is essential to study the sources of financial shocks, the mechanisms of their distribution and ways to manage them. The purpose of the paper is to specify the impact of financial stress on industrial stress in the Russian economy and to determine the role of monetary policy in their interaction. The novelty of the research consists in the development of a methodology for constructing financial and industrial stress indices, the establishment of the mechanism of their interaction under different monetary regimes of the central bank. The construction of stress indices is carried out on the basis of the selected indicators of the financial market and industrial sector of the economy, the use of the principal component analysis for their aggregation, and mathematical transformation of the first principal component. The direction of interaction between financial and industrial stress in the Russian economy is determined using the Granger causality test. The construction of autoregressive distributed lag models (ARDL models) allows estimating the impact of financial stress, as well as monetary policy parameters (the scale of lending by the central bank to commercial banks and the deviation of the central bank’s key rate from the market rate borrowing) on industrial stress in the Russian economy. The research results in estimates of the strength of the relationship between financial and industrial stress in the Russian economy in two periods: before the change in the monetary regime (2006 — end of 2014) and after the change in the monetary regime (end of 2014–2019). It is concluded that in the first period the impact of financial stress on industrial stress was faster and stronger. In the second period, the weakening and distancing of this influence in time is explained by the change of the monetary regime of the Bank of Russia, which indicates an increase in the effectiveness of the monetary policy instruments of the Bank of Russia to counter “financial contagion” of the industrial sector.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>индекс стресса</kwd><kwd>финансовый и промышленный стресс</kwd><kwd>денежно-кредитная политика</kwd><kwd>монетарный режим</kwd><kwd>тест Грейнджера</kwd><kwd>российская экономика</kwd></kwd-group><kwd-group xml:lang="en"><kwd>stress index</kwd><kwd>financial and industrial stress</kwd><kwd>monetary policy</kwd><kwd>monetary regime</kwd><kwd>Granger causality test</kwd><kwd>Russian economy</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Исследование выполнено за счет гранта Российского научного фонда № 23-28-00453. URL: https://rscf.ru/project/23–28–00453/. Нижегородский государственный университет им. Н. И. Лобачевского, Нижний Новгород, Россия.</funding-statement><funding-statement xml:lang="en">The study was supported by the Russian Science Foundation Grant No. 23-28-00453. URL: https://rscf.ru/project/23–28–00453/. Lobachevsky State University of Nizhni Novgorod, Nizhny Novgorod, Russia.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Louzis D. P., Vouldis A. T. A methodology for constructing a financial systemic stress index: An application to Greece. Economic Modelling. 2012;29(4):1228–1241. DOI: 10.1016/j.econmod.2012.03.017</mixed-citation><mixed-citation xml:lang="en">Louzis D. P., Vouldis A. T. A methodology for constructing a financial systemic stress index: An application to Greece. Economic Modelling. 2012;29(4):1228–1241. DOI: 10.1016/j.econmod.2012.03.017</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Sadia H., Bhatti A. A., Ahmad E. Developing a financial stress index for Pakistan. Business &amp; Economic Review. 2019;11(4):113–132. DOI: 10.22547/BER/11.4.5</mixed-citation><mixed-citation xml:lang="en">Sadia H., Bhatti A. A., Ahmad E. Developing a financial stress index for Pakistan. Business &amp; Economic Review. 2019;11(4):113–132. DOI: 10.22547/BER/11.4.5</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Данилов Ю. А., Пивоваров Д. А., Давыдов И. С. К вопросу о предвидении глобальных финансово-экономических кризисов. Финансы: теория и практика. 2020;24(1):87–104. DOI: 10.26794/2587–5671–2020–24–1–87–104</mixed-citation><mixed-citation xml:lang="en">Danilov Yu.A., Pivovarov D. A., Davydov I. S. On the issue of predicting global financial and economic crises. Finance: Theory and Practice. 2020;24(1):87–104. (In Russ.). DOI: 10.26794/2587–5671–2020–24–1–87–104</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Столбов М. И. Индекс финансового стресса для России: новые подходы. Экономический журнал Высшей школы экономики. 2019;23(1):32–60. DOI: 10.17323/1813–8691–2019–23–1–32–60</mixed-citation><mixed-citation xml:lang="en">Stolbov M. Constructing a financial stress index for Russia: New approaches. Ekonomicheskii zhurnal Vysshei shkoly ekonomiki = The HSE Economic Journal. 2019;23(1):32–60. (In Russ.). DOI: 10.17323/1813–8691–2019–23–1–32–60</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Данилов Ю. А., Пивоваров Д. А., Давыдов И. С. Создание внутренних кризисных предикторов: российский индекс финансовых условий. Экономическое развитие России. 2020;27(2):49–59.</mixed-citation><mixed-citation xml:lang="en">Danilov Yu.A., Pivovarov D. A., Davydov I. S. Creation of internal crisis predictors: Russian financial conditions index. Ekonomicheskoe razvitie Rossii = Russian Economic Development. 2020;27(2):49–59. (In Russ.).</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Ishrakieh L. M., Dagher L., El Hariri S. A financial stress index for a highly dollarized developing country: The case of Lebanon. Central Bank Review. 2020;20(2):43–52. DOI: 10.1016/j.cbrev.2020.02.004</mixed-citation><mixed-citation xml:lang="en">Ishrakieh L. M., Dagher L., El Hariri S. A financial stress index for a highly dollarized developing country: The case of Lebanon. Central Bank Review. 2020;20(2):43–52. DOI: 10.1016/j.cbrev.2020.02.004</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Oet M. V., Dooley J. M., Ong S. J. The financial stress index: Identification of systemic risk conditions. Risks. 2015;3(3):420–444. DOI: 10.3390/risks3030420</mixed-citation><mixed-citation xml:lang="en">Oet M. V., Dooley J. M., Ong S. J. The financial stress index: Identification of systemic risk conditions. Risks. 2015;3(3):420–444. DOI: 10.3390/risks3030420</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Ding Q., Huang J., Zhang H. The time-varying effects of financial and geopolitical uncertainties on commodity market dynamics: A TVP-SVAR-SV analysis. Resources Policy. 2021;72:102079. DOI: 10.1016/j.resourpol.2021.102079</mixed-citation><mixed-citation xml:lang="en">Ding Q., Huang J., Zhang H. The time-varying effects of financial and geopolitical uncertainties on commodity market dynamics: A TVP-SVAR-SV analysis. Resources Policy. 2021;72:102079. DOI: 10.1016/j.resourpol.2021.102079</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Ozcelebi O. Assessing the impacts of financial stress index of developed countries on the exchange market pressure index of emerging countries. International Review of Economics &amp; Finance. 2020;70:288–302. DOI: 10.1016/j.iref.2020.07.012</mixed-citation><mixed-citation xml:lang="en">Ozcelebi O. Assessing the impacts of financial stress index of developed countries on the exchange market pressure index of emerging countries. International Review of Economics &amp; Finance. 2020;70:288–302. DOI: 10.1016/j.iref.2020.07.012</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Monin P. J. The OFR financial stress index. Risks. 2019;7(1):25. DOI: 10.3390/risks7010025</mixed-citation><mixed-citation xml:lang="en">Monin P. J. The OFR financial stress index. Risks. 2019;7(1):25. DOI: 10.3390/risks7010025</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Baranova V. Real effects of financial shocks in Russia. In: Karminsky A. M., Mistrulli P. E., Stolbov M. I., Shi Y., eds. Risk assessment and financial regulation in emerging markets’ banking. Cham: Springer-Verlag; 2021:329–339. (Advanced Studies in Emerging Markets Finance). DOI: 10.1007/978–3–030–69748–8_15</mixed-citation><mixed-citation xml:lang="en">Baranova V. Real effects of financial shocks in Russia. In: Karminsky A. M., Mistrulli P. E., Stolbov M. I., Shi Y., eds. Risk assessment and financial regulation in emerging markets’ banking. Cham: Springer-Verlag; 2021:329–339. (Advanced Studies in Emerging Markets Finance). DOI: 10.1007/978–3–030–69748–8_15</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Bahramian P., Saliminezhad A., Aker Ş. The link between financial stress index and economic activity: Prominent Granger causalities across frequencies in Luxembourg. Journal of Economic Studies. 2022;49(1):126–139. DOI: 10.1108/JES‑05–2020–0251</mixed-citation><mixed-citation xml:lang="en">Bahramian P., Saliminezhad A., Aker Ş. The link between financial stress index and economic activity: Prominent Granger causalities across frequencies in Luxembourg. Journal of Economic Studies. 2022;49(1):126–139. DOI: 10.1108/JES‑05–2020–0251</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Ferrer R., Jammazi R., Bolós V. J., Benítez R. Interactions between financial stress and economic activity for the U.S.: A time- and frequency-varying analysis using wavelets. Physica A: Statistical Mechanics and its Applications. 2018;492:446–462. DOI: 10.1016/j.physa.2017.10.044</mixed-citation><mixed-citation xml:lang="en">Ferrer R., Jammazi R., Bolós V. J., Benítez R. Interactions between financial stress and economic activity for the U.S.: A time- and frequency-varying analysis using wavelets. Physica A: Statistical Mechanics and its Applications. 2018;492:446–462. DOI: 10.1016/j.physa.2017.10.044</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Malega J., Horváth R. Financial stress in the Czech Republic: Measurement and effects on the real economy. Prague Economic Papers. 2017;26(3):257–268. DOI: 10.18267/j.pep.608</mixed-citation><mixed-citation xml:lang="en">Malega J., Horváth R. Financial stress in the Czech Republic: Measurement and effects on the real economy. Prague Economic Papers. 2017;26(3):257–268. DOI: 10.18267/j.pep.608</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Duprey T., Klaus B., Peltonen T. Dating systemic financial stress episodes in the EU countries. Journal of Financial Stability. 2017;32:30–56. DOI: 10.1016/j.jfs.2017.07.004</mixed-citation><mixed-citation xml:lang="en">Duprey T., Klaus B., Peltonen T. Dating systemic financial stress episodes in the EU countries. Journal of Financial Stability. 2017;32:30–56. DOI: 10.1016/j.jfs.2017.07.004</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Polat O., Ozkan I. Transmission mechanisms of financial stress into economic activity in Turkey. Journal of Policy Modeling. 2019;41(2):395–415. DOI: 10.1016/j.jpolmod.2019.02.010</mixed-citation><mixed-citation xml:lang="en">Polat O., Ozkan I. Transmission mechanisms of financial stress into economic activity in Turkey. Journal of Policy Modeling. 2019;41(2):395–415. DOI: 10.1016/j.jpolmod.2019.02.010</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Щепелева М. А. Финансовое заражение: трансграничное распространение системного риска. Миро- вая экономика и международные отношения. 2017;61(1):17–28. DOI: 10.20542/0131–2227–2017–61–1–17–28</mixed-citation><mixed-citation xml:lang="en">Shchepeleva M. A. Financial contagion: Global transmission of systemic risk. Mirovaya ekonomika i mezhdunarodnye otnosheniya = World Economy and International Relations. 2017;61(1):17–28. (In Russ.). DOI: 10.20542/0131–2227–2017–61–1–17–28</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Shim I., Shin K. Financial stress in lender countries and capital outﬂows from emerging market economies. Journal of International Money and Finance. 2021;113:102356. DOI: 10.1016/j.jimonfin.2021.102356</mixed-citation><mixed-citation xml:lang="en">Shim I., Shin K. Financial stress in lender countries and capital outﬂows from emerging market economies. Journal of International Money and Finance. 2021;113:102356. DOI: 10.1016/j.jimonfin.2021.102356</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Федорова Е. А., Мусиенко С. О., Федоров Ф. Ю., Виноградова Л. В. Влияние освещения кризиса на фи- нансовый рынок России. Финансы: теория и практика. 2019;23(3):112–121. DOI: 10.26794/2587–5671–2019–23–3–112–121</mixed-citation><mixed-citation xml:lang="en">Fedorova E. A., Musienko S. O., Fedorov F. Yu., Vinogradova L. V. Impact of crisis coverage on the financial market of Russia. Finance: Theory and Practice. 2019;23(3):112–121. (In Russ.). DOI: 10.26794/2587–5671–2019–23–3–112–121</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Chen H.-C., Yeh C.-W. Global financial crisis and COVID‑19: Industrial reactions. Finance Research Letters. 2021;42:101940. DOI: 10.1016/j.frl.2021.101940</mixed-citation><mixed-citation xml:lang="en">Chen H.-C., Yeh C.-W. Global financial crisis and COVID‑19: Industrial reactions. Finance Research Letters. 2021;42:101940. DOI: 10.1016/j.frl.2021.101940</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Mittnik S., Semmler W. The real consequences of financial stress. Journal of Economic Dynamics and Control. 2013;37(8):1479–1499. DOI: 10.1016/j.jedc.2013.04.014</mixed-citation><mixed-citation xml:lang="en">Mittnik S., Semmler W. The real consequences of financial stress. Journal of Economic Dynamics and Control. 2013;37(8):1479–1499. DOI: 10.1016/j.jedc.2013.04.014</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Малкина М. Ю., Моисеев И. А. Эндогенность предложения денег в российской экономике в условиях смены монетарного режима. Финансовый журнал. 2020;12(3):8–27. DOI: 10.31107/2075–1990–2020–3–8–27</mixed-citation><mixed-citation xml:lang="en">Malkina M. Yu., Moiseev I. A. Endogeneity of money supply in the Russian economy in the context of the monetary regime change. Finansovyi zhurnal = Financial Journal. 2020;12(3):8–27. (In Russ.). DOI: 10.31107/2075–1990–2020–3–8–27</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Малкина М. Ю., Овчаров А. О. Индекс финансового стресса как обобщающий индикатор финансовой нестабильности. Финансовый журнал. 2019;(3):38–54. DOI: 10.31107/2075–1990–2019–3–38–54</mixed-citation><mixed-citation xml:lang="en">Malkina M. Yu., Ovcharov A. O. Financial stress index as a generalized indicator of financial instability. Finansovyi zhurnal = Financial Journal. 2019;(3):38–54. (In Russ.). DOI: 10.31107/2075–1990–2019–3–38–54</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
